Muralindran Mariappan

Work place: Robotics and Intelligent Systems (myRIS) Research Group, Faculty of Engineering, Universiti Malaysia Sabah, 88400 Kota Kinabalu, Sabah, Malaysia



Research Interests: Computer systems and computational processes, Artificial Intelligence, Robotics


Muralindran Mariappan received his B.Eng (Hons) degree in Electrical & Electronics from University Science Malaysia in 1998 and his M.Sc (Electrical & Electronics Engineering) and his Ph.D in Robotics from Universiti Malaysia Sabah (UMS), Kota Kinabalu, Malaysia in 2004 and 2008 respectively.

He is the Head of Robotics & Intelligent Systems Research Group, Universiti Malaysia Sabah, Kota Kinabalu, Malaysia. His research interests includes Robotics and Artificial Intelligence applications.

Ir. Dr. Muralindran Mariappan is a practicing Professional Engineer, a Senior Member of IEEE and Robotics and Automation Society and also members of IEM, mySET, AAE, MIDES and SCIEI.

Author Articles
Automated Visual Inspection: Position Identification of Object for Industrial Robot Application based on Color and Shape

By Muralindran Mariappan Tony Chua Tung Ming Manimehala Nadarajan

DOI:, Pub. Date: 8 Jan. 2016

Inspection task is traditionally carried out by human. However, Automated Visual Inspection (AVI) has gradually become more popular than human inspection due to the advantageous in the aspect of high precision and short processing time. Therefore, this paper proposed a system which identifies the object’s position for industrial robot based on colors and shapes where, red, green, blue and circle, square, triangle are recognizable. The proposed system is capable to identify the object’s position in three modes, either based on color, shape or both color and shape of the desired objects. During the image processing, RGB color space is utilized by the proposed system while winner take all approach is used to classify the color of the object through the evaluation of the pixel’s intensity value of the R, G and B channel. Meanwhile, the shapes and position of the objects are determined based on the compactness and the centroid of the region respectively. Camera settings, such as brightness, contrast and exposure is another important factor which can affect the performance of the proposed system. Lastly, a Graphical User Interface was developed. The experimental result shows that the developed system is highly efficient when implemented in the selected database.

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Face Detection and Auto Positioning for Robotic Vision System

By Muralindran Mariappan Tan Wei Fang Manimehala Nadarajan Norfarariyanti Parimon

DOI:, Pub. Date: 8 Nov. 2015

Robotic vision system has taken a great leap in the field of robotics. Vision system is an essential tool to be implemented in a robot for visual communication between robot and human especially in the application of Tele-Diagnostic Robot. The robot vision system must always be in the field of view. The ability for the vision system to automatically track the person in communication is crucial for the remote medical specialist. To circumvent this problem, a face detection technique is implemented and it is performed using skin color segmentation with two color space which are YCbCr and HSV. Besides that, morphological operations are also done to detect the face region accurately. Two DOF servo mechanism were designed to ensure that the servo motor rotates to centralize the detected face region. A real-time testing were conducted and it was found that this system results a good performance.

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Other Articles